4bit Adapter Base model:adapter:coherelabs/... Base model:coherelabs/c4ai-com... Dataset:generator Finetuned Generated from trainer Lora Peft Quantized Region:us Safetensors Sft Trl
Model Card on HF 🤗: https://huggingface.co/Utshav/c4ai-command-r-v01-SFT
C4ai Command R V01 SFT Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
C4ai Command R V01 SFT Parameters and Internals
| Additional Notes |
| ||||||
| Training Details |
|
| LLM Name | C4ai Command R V01 SFT |
| Repository 🤗 | https://huggingface.co/Utshav/c4ai-command-r-v01-SFT |
| Base Model(s) | |
| Required VRAM | 0.2 GB |
| Updated | 2025-06-09 |
| Maintainer | Utshav |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| License | cc-by-nc-4.0 |
| Is Biased | none |
| Tokenizer Class | CohereTokenizer |
| Padding Token | <|END_OF_TURN_TOKEN|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|up_proj|v_proj|gate_proj|o_proj|k_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
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| Rei V2 Kto | 0K / 0 GB | 13 | 0 |
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Note: green Score (e.g. "73.2") means that the model is better than Utshav/c4ai-command-r-v01-SFT .
Rank the C4ai Command R V01 SFT Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124